Description:

Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries.

About This Book

Second edition of the bestselling book on Machine LearningA practical approach to key frameworks in data science, machine learning, and deep learningUse the most powerful Python libraries to implement machine learning and deep learningGet to know the best practices to improve and optimize your machine learning systems and algorithms

Who This Book Is For

If you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential and unmissable resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for developers and data scientists who want to teach computers how to learn from data.

What You Will Learn

Understand the key frameworks in data science, machine learning, and deep learningHarness the power of the latest Python open source libraries in machine learningMaster machine learning techniques using challenging real-world dataMaster deep neural network implementation using the TensorFlow libraryAsk new questions of your data through machine learning models and neural networksLearn the mechanics of classification algorithms to implement the best tool for the jobPredict continuous target outcomes using regression analysisUncover hidden patterns and structures in data with clusteringDelve deeper into textual and social media data using sentiment analysis